Biologically-Inspired Collaborative Computing: IFIP 20th - download pdf or read online

By Marco Dorigo (auth.), Mike Hinchey, Anastasia Pagnoni, Franz J. Rammig, Hartmut Schmeck (eds.)

ISBN-10: 038709654X

ISBN-13: 9780387096544

ISBN-10: 0387096558

ISBN-13: 9780387096551

International Federation for info Processing

The IFIP sequence publishes cutting-edge ends up in the sciences and applied sciences of data and communique. The scope of the sequence comprises: foundations of computing device technology; software program conception and perform; schooling; machine purposes in know-how; conversation structures; platforms modeling and optimization; details structures; desktops and society; computers know-how; safeguard and defense in info processing platforms; synthetic intelligence; and human-computer interplay. complaints and post-proceedings of refereed overseas meetings in machine technology and interdisciplinary fields are featured. those effects usually precede magazine e-book and symbolize the most up-tp-date learn. The critical objective of the IFIP sequence is to motivate schooling and the dissemination and alternate of data approximately all points of computing.

For additional information concerning the three hundred different books within the IFIP sequence, please stopover at www.springer.com.

For additional info approximately IFIP, please stopover at www.ifip.org.

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Additional info for Biologically-Inspired Collaborative Computing: IFIP 20th World Computer Congress, Second IFIP TC 10 International Conference on Biologically-Inspired Collaborative Computing, September 8–9, 2008, Milano, Italy

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We call our problem minimum intracommunication-cost clustering. The ad hoc network is modeled as an undirected graph G = (V, E), where V is the set of wireless nodes and an edge {u, v} ∈ E if and only if a communication link is established between node u ∈ V and v ∈ V . The two nodes in this case are neighbors. Each node v ∈ V has a unique identifier (IDv ). For each link, a weighing function assigns a positive weight. w : E → R+ . This weight measures the quality (or goodness) of a wireless link.

Method CP is better than the system without congestion control for more than 135 agents but it is worse than the other two methods. One reason might be that it is not so easy for the agents that have visited the service station to move away from it through the pipe because they move randomly in the considered model (and do not actively move away from the service station). Besides the reduction of congestion, fairness for service is another important measure for the collective behavior of agents.

Sendova-Franks, C. Detrain, L. Chretien: The dynamics of collective sorting: Robot-like ants and ant-like robots. In Proc. of the 1st Int. Conf on Simulation of Adaptive Behavior, 356–363, 1991. 4. J. Handl, B. Meyer: Ant-based and swarm-based clustering. 1(2), 95-113, 2007 5. H. Schmeck: Organic Computing – A New Vision for Distributed Embedded Systems. Proc. of the Eighth IEEE International Symposium on Object-Oriented Real-Time Distributed Computing (ISORC 2005), 201-203, 2005. 6. T. Sch¨ oler, C.

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Biologically-Inspired Collaborative Computing: IFIP 20th World Computer Congress, Second IFIP TC 10 International Conference on Biologically-Inspired Collaborative Computing, September 8–9, 2008, Milano, Italy by Marco Dorigo (auth.), Mike Hinchey, Anastasia Pagnoni, Franz J. Rammig, Hartmut Schmeck (eds.)


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